An Efficient Algorithm For Removal Of Impulse Noise Using Adaptive Fuzzy Switching Weighted Median Filter

Linear and nonlinear filters have been proposed earlier for the removal of impulse noise; however the removal of impulse noise often brings about blurring which results in edges being distorted and poor quality. Therefore the necessity to preserve the edges and fine details during filtering is the challenge faced by researchers today. This paper proposes a two-stage approach for detecting and removing of salt and pepper noise. In the first stage, The noise detection is based on simple thresholding of pixels.. In the second stage, these detected noise candidates will be restored by an improved adaptive fuzzy switching weighted median algorithm (FSWMA), while these noise-free pixels are left unchanged. In term of the conflict of noise suppression and edge-preserving, our proposed method takes fuzzy switching reasoning to handle it. The results show this method is good for noise reduction and image restoration especially in high level noisy images.